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Watershed‐scale spatial prediction of agricultural land phosphorus mass balance and soil phosphorus metrics: A bottom‐up approach

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  • Journal Title:
    Journal of Environmental Quality
  • Personal Author:
  • NOAA Program & Office:
    NWS (National Weather Service)
  • Description:
    Analysis of nutrient balance at the watershed scale, including for phosphorus (P), is typically accomplished using aggregate input datasets, resulting in an inability to capture the variability of P status across the study region. This study presents a set of methods to predict and visualize partial P mass balance, soil P saturation ratio (PSR), and soil test P for agricultural parcels across a watershed in the Lake Champlain Basin (Vermont, USA) using granular, field‐level data. K‐means cluster analyses were used to group agricultural parcels by soil texture, average slope, and crop type. Using a set of parcels accounting for ∼21% of the watershed's agricultural land and having known soil test and nutrient management parameters, predictions of partial P mass balance, PSR, and soil test P for agricultural land across the watershed were made by cluster, incorporating uncertainty. This resulted in an average partial P balance of 5.5 ± 0.2 kg P ha−1 year−1 and an average PSR of 0.0399 ± 0.0002. Furthermore, approximately 30% of agricultural land had predicted soil test P values above optimum levels. Results were used to visualize areas with high P loss potential. Such data and visualizations can inform watershed P modeling and assist practitioners in nutrient management decision making. These techniques can also serve as a framework for bottom‐up modeling of nutrient mass balance and soil metrics in other regions.
  • Source:
    Journal of Environmental Quality (2024)
  • DOI:
  • ISSN:
    0047-2425 ; 1537-2537
  • Format:
    pdf
  • Publisher:
    Wiley
  • Document Type:
    Journal Article
  • Funding:
    Grant no. NA22NWS4320003
  • License:
  • Rights Information:
    CC BY-NC-ND
  • Compliance:
    Submitted
  • Main Document Checksum:
    urn:sha-512:e33ec085c8d8b5d9c77e07cf8e5520e2a9835f52a1879b954b2f1b2fbb927615cd0c7c5b1f6820128e46bb768079edb2715a578c0bc3329130fe06d88b07c920
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  • File Type:
    Filetype[PDF - 2.64 MB ]
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